Forwarded from Free Courses: Google | Microsoft | Udemy | Coursera | IBM | NVIDIA | LinkedIn Learning | MIT | Udemy Coupons & PDF Books
8 FREE AI Courses by Google ππ Learn, Grow, and Succeed
1. Introduction to Generative AI
β An introductory course to explain what generative AI is.
β You'll learn how AI is used and how it's different from machine learning.
π Course Link (https://www.cloudskillsboost.google/course_templates/536)
2. Image Generation
β Discover how to train and deploy a model to generate images.
β After completing this course, you will be awarded a badge.
π Course Link (https://www.cloudskillsboost.google/course_templates/541)
3. Responsible AI
β It explains what responsible AI is and why it's important.
β Learn the 7 AI principles.
π Course Link (https://www.cloudskillsboost.google/course_templates/554)
4. Large Language Models
β Explore what large language models (LLM) are.
β How you can use prompting tuning to enhance LLM performance.
π Course Link (https://www.cloudskillsboost.google/course_templates/539)
5. Transformer and BERT Models
β Two essential AI models.
β How it is to build the BERT model.
β Upon completion, you will be awarded a badge.
π Course Link (https://www.cloudskillsboost.google/course_templates/538)
6. Attention Mechanism
β Introduce you to the attention mechanism.
β Find out how it can be applied to enhance AI tasks' performance.
π Course Link (https://www.cloudskillsboost.google/course_templates/537)
7. Generative AI Studio
β Integrate AI into your apps.
β Find out about Generative AI Studio, what it can do, and it's features.
π Course Link (https://www.cloudskillsboost.google/course_templates/552)
8. Image recognition
β Learn how to create an AI that understands images.
β Practical learning so that you can create your own by the end of the course.
π Course Link (https://www.cloudskillsboost.google/course_templates/542)
Best Resources to learn ML & AI π
https://t.me/airesourcestp/86
Free and Essential GenAI Courses
https://t.me/airesourcestp/81
AI & ML Free Courses by Top Institutions
https://intercomuniversity.com/category/free-courses/artificial-intelligence/
All the best ππ
More Learning Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Telegram Channel:
https://t.me/techpsyche
1. Introduction to Generative AI
β An introductory course to explain what generative AI is.
β You'll learn how AI is used and how it's different from machine learning.
π Course Link (https://www.cloudskillsboost.google/course_templates/536)
2. Image Generation
β Discover how to train and deploy a model to generate images.
β After completing this course, you will be awarded a badge.
π Course Link (https://www.cloudskillsboost.google/course_templates/541)
3. Responsible AI
β It explains what responsible AI is and why it's important.
β Learn the 7 AI principles.
π Course Link (https://www.cloudskillsboost.google/course_templates/554)
4. Large Language Models
β Explore what large language models (LLM) are.
β How you can use prompting tuning to enhance LLM performance.
π Course Link (https://www.cloudskillsboost.google/course_templates/539)
5. Transformer and BERT Models
β Two essential AI models.
β How it is to build the BERT model.
β Upon completion, you will be awarded a badge.
π Course Link (https://www.cloudskillsboost.google/course_templates/538)
6. Attention Mechanism
β Introduce you to the attention mechanism.
β Find out how it can be applied to enhance AI tasks' performance.
π Course Link (https://www.cloudskillsboost.google/course_templates/537)
7. Generative AI Studio
β Integrate AI into your apps.
β Find out about Generative AI Studio, what it can do, and it's features.
π Course Link (https://www.cloudskillsboost.google/course_templates/552)
8. Image recognition
β Learn how to create an AI that understands images.
β Practical learning so that you can create your own by the end of the course.
π Course Link (https://www.cloudskillsboost.google/course_templates/542)
Best Resources to learn ML & AI π
https://t.me/airesourcestp/86
Free and Essential GenAI Courses
https://t.me/airesourcestp/81
AI & ML Free Courses by Top Institutions
https://intercomuniversity.com/category/free-courses/artificial-intelligence/
All the best ππ
More Learning Resources Here:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Telegram Channel:
https://t.me/techpsyche
β€1
Data Analytics Roadmap
|
|-- Fundamentals
| |-- Mathematics
| | |-- Descriptive Statistics
| | |-- Inferential Statistics
| | |-- Probability Theory
| |
| |-- Programming
| | |-- Python (Focus on Libraries like Pandas, NumPy)
| | |-- R (For Statistical Analysis)
| | |-- SQL (For Data Extraction)
|
|-- Data Collection and Storage
| |-- Data Sources
| | |-- APIs
| | |-- Web Scraping
| | |-- Databases
| |
| |-- Data Storage
| | |-- Relational Databases (MySQL, PostgreSQL)
| | |-- NoSQL Databases (MongoDB, Cassandra)
| | |-- Data Lakes and Warehousing (Snowflake, Redshift)
|
|-- Data Cleaning and Preparation
| |-- Handling Missing Data
| |-- Data Transformation
| |-- Data Normalization and Standardization
| |-- Outlier Detection
|
|-- Exploratory Data Analysis (EDA)
| |-- Data Visualization Tools
| | |-- Matplotlib
| | |-- Seaborn
| | |-- ggplot2
| |
| |-- Identifying Trends and Patterns
| |-- Correlation Analysis
|
|-- Advanced Analytics
| |-- Predictive Analytics (Regression, Forecasting)
| |-- Prescriptive Analytics (Optimization Models)
| |-- Segmentation (Clustering Techniques)
| |-- Sentiment Analysis (Text Data)
|
|-- Data Visualization and Reporting
| |-- Visualization Tools
| | |-- Power BI
| | |-- Tableau
| | |-- Google Data Studio
| |
| |-- Dashboard Design
| |-- Interactive Visualizations
| |-- Storytelling with Data
|
|-- Business Intelligence (BI)
| |-- KPI Design and Implementation
| |-- Decision-Making Frameworks
| |-- Industry-Specific Use Cases (Finance, Marketing, HR)
|
|-- Big Data Analytics
| |-- Tools and Frameworks
| | |-- Hadoop
| | |-- Apache Spark
| |
| |-- Real-Time Data Processing
| |-- Stream Analytics (Kafka, Flink)
|
|-- Domain Knowledge
| |-- Industry Applications
| | |-- E-commerce
| | |-- Healthcare
| | |-- Supply Chain
|
|-- Ethical Data Usage
| |-- Data Privacy Regulations (GDPR, CCPA)
| |-- Bias Mitigation in Analysis
| |-- Transparency in Reporting
Free Resources to learn Data Analytics skillsππ
1. SQL
https://bit.ly/4kNb15x
https://mode.com/sql-tutorial/introduction-to-sql
https://t.me/sqlresourcestp/58
2. Python
https://www.learnpython.org/
https://t.me/pythonresourcestp/67
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. R
https://www.datacamp.com/courses/free-introduction-to-r
4. Data Structures
https://leetcode.com/study-plan/data-structure/
https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
5. Data Visualization
https://www.freecodecamp.org/learn/data-visualization/
https://t.me/dataanalysisresourcestp/47
https://www.tableau.com/learn/training/20223
https://www.workout-wednesday.com/power-bi-challenges/
6. Excel
https://excel-practice-online.com/
https://tinyurl.com/2b76wzud
https://www.w3schools.com/EXCEL/index.php
Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84
7 Free Data Analytics Coursesππ
https://tinyurl.com/326exaw7
Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99
Hope it helps :)
Share our channel link with your friends:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Telegram Channel:
https://t.me/techpsyche
|
|-- Fundamentals
| |-- Mathematics
| | |-- Descriptive Statistics
| | |-- Inferential Statistics
| | |-- Probability Theory
| |
| |-- Programming
| | |-- Python (Focus on Libraries like Pandas, NumPy)
| | |-- R (For Statistical Analysis)
| | |-- SQL (For Data Extraction)
|
|-- Data Collection and Storage
| |-- Data Sources
| | |-- APIs
| | |-- Web Scraping
| | |-- Databases
| |
| |-- Data Storage
| | |-- Relational Databases (MySQL, PostgreSQL)
| | |-- NoSQL Databases (MongoDB, Cassandra)
| | |-- Data Lakes and Warehousing (Snowflake, Redshift)
|
|-- Data Cleaning and Preparation
| |-- Handling Missing Data
| |-- Data Transformation
| |-- Data Normalization and Standardization
| |-- Outlier Detection
|
|-- Exploratory Data Analysis (EDA)
| |-- Data Visualization Tools
| | |-- Matplotlib
| | |-- Seaborn
| | |-- ggplot2
| |
| |-- Identifying Trends and Patterns
| |-- Correlation Analysis
|
|-- Advanced Analytics
| |-- Predictive Analytics (Regression, Forecasting)
| |-- Prescriptive Analytics (Optimization Models)
| |-- Segmentation (Clustering Techniques)
| |-- Sentiment Analysis (Text Data)
|
|-- Data Visualization and Reporting
| |-- Visualization Tools
| | |-- Power BI
| | |-- Tableau
| | |-- Google Data Studio
| |
| |-- Dashboard Design
| |-- Interactive Visualizations
| |-- Storytelling with Data
|
|-- Business Intelligence (BI)
| |-- KPI Design and Implementation
| |-- Decision-Making Frameworks
| |-- Industry-Specific Use Cases (Finance, Marketing, HR)
|
|-- Big Data Analytics
| |-- Tools and Frameworks
| | |-- Hadoop
| | |-- Apache Spark
| |
| |-- Real-Time Data Processing
| |-- Stream Analytics (Kafka, Flink)
|
|-- Domain Knowledge
| |-- Industry Applications
| | |-- E-commerce
| | |-- Healthcare
| | |-- Supply Chain
|
|-- Ethical Data Usage
| |-- Data Privacy Regulations (GDPR, CCPA)
| |-- Bias Mitigation in Analysis
| |-- Transparency in Reporting
Free Resources to learn Data Analytics skillsππ
1. SQL
https://bit.ly/4kNb15x
https://mode.com/sql-tutorial/introduction-to-sql
https://t.me/sqlresourcestp/58
2. Python
https://www.learnpython.org/
https://t.me/pythonresourcestp/67
https://www.geeksforgeeks.org/python-programming-language/learn-python-tutorial
3. R
https://www.datacamp.com/courses/free-introduction-to-r
4. Data Structures
https://leetcode.com/study-plan/data-structure/
https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513
5. Data Visualization
https://www.freecodecamp.org/learn/data-visualization/
https://t.me/dataanalysisresourcestp/47
https://www.tableau.com/learn/training/20223
https://www.workout-wednesday.com/power-bi-challenges/
6. Excel
https://excel-practice-online.com/
https://tinyurl.com/2b76wzud
https://www.w3schools.com/EXCEL/index.php
Tableau Learning Plan
https://t.me/dataanalysisresourcestp/84
7 Free Data Analytics Coursesππ
https://tinyurl.com/326exaw7
Data Analyst Checklist
https://t.me/dataanalysisresourcestp/99
Hope it helps :)
Share our channel link with your friends:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Telegram Channel:
https://t.me/techpsyche
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
ICT Consultant AT The Green Belt Movement (GBM)
Organization: The Green Belt Movement (GBM)
Location: Nairobi, Kenya
Apply Here:
To apply for this job email your details to jobs@greenbeltmovement.org
π Bonus for Job Seekers:
whatsapp.com/channel/0029VaguO7j5K3zXLbJl9J1x
More Jobs in Kenya are uploaded in thisπTelegram Channel daily
t.me/kenyatalenthelp
Organization: The Green Belt Movement (GBM)
Location: Nairobi, Kenya
Apply Here:
To apply for this job email your details to jobs@greenbeltmovement.org
π Bonus for Job Seekers:
whatsapp.com/channel/0029VaguO7j5K3zXLbJl9J1x
More Jobs in Kenya are uploaded in thisπTelegram Channel daily
t.me/kenyatalenthelp
β€1
Learning Python for data science can be a rewarding experience. Here are some steps you can follow to get started:
1. Learn the Basics of Python: Start by learning the basics of Python programming language such as syntax, data types, functions, loops, and conditional statements. There are many online resources available for free to learn Python.
2. Understand Data Structures and Libraries: Familiarize yourself with data structures like lists, dictionaries, tuples, and sets. Also, learn about popular Python libraries used in data science such as NumPy, Pandas, Matplotlib, and Scikit-learn.
3. Practice with Projects: Start working on small data science projects to apply your knowledge. You can find datasets online to practice your skills and build your portfolio.
4. Take Online Courses: Enroll in online courses specifically tailored for learning Python for data science. Websites like Coursera, Udemy, and DataCamp offer courses on Python programming for data science.
5. Join Data Science Communities: Join online communities and forums like Stack Overflow, Reddit, or Kaggle to connect with other data science enthusiasts and get help with any questions you may have.
6. Read Books: There are many great books available on Python for data science that can help you deepen your understanding of the subject. Some popular books include "Python for Data Analysis" by Wes McKinney and "Data Science from Scratch" by Joel Grus.
7. Practice Regularly: Practice is key to mastering any skill. Make sure to practice regularly and work on real-world data science problems to improve your skills.
Remember that learning Python for data science is a continuous process, so be patient and persistent in your efforts. Good luck!
Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp
Learn Data Science & AI: https://365datascience.pxf.io/Z6KDgk
Data Science Roadmap: https://t.me/datascienceresourcestp/86
Data Science Course (http://kaggle.com/learn) by Kaggle
Data Science Free Courses by IBM: https://tinyurl.com/42nau8jx
Data Science Interview Questions: https://t.me/datascienceresourcestp/90
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Learn the Basics of Python: Start by learning the basics of Python programming language such as syntax, data types, functions, loops, and conditional statements. There are many online resources available for free to learn Python.
2. Understand Data Structures and Libraries: Familiarize yourself with data structures like lists, dictionaries, tuples, and sets. Also, learn about popular Python libraries used in data science such as NumPy, Pandas, Matplotlib, and Scikit-learn.
3. Practice with Projects: Start working on small data science projects to apply your knowledge. You can find datasets online to practice your skills and build your portfolio.
4. Take Online Courses: Enroll in online courses specifically tailored for learning Python for data science. Websites like Coursera, Udemy, and DataCamp offer courses on Python programming for data science.
5. Join Data Science Communities: Join online communities and forums like Stack Overflow, Reddit, or Kaggle to connect with other data science enthusiasts and get help with any questions you may have.
6. Read Books: There are many great books available on Python for data science that can help you deepen your understanding of the subject. Some popular books include "Python for Data Analysis" by Wes McKinney and "Data Science from Scratch" by Joel Grus.
7. Practice Regularly: Practice is key to mastering any skill. Make sure to practice regularly and work on real-world data science problems to improve your skills.
Remember that learning Python for data science is a continuous process, so be patient and persistent in your efforts. Good luck!
Free Notes & Books to learn Data Science: https://t.me/datascienceresourcestp
Learn Data Science & AI: https://365datascience.pxf.io/Z6KDgk
Data Science Roadmap: https://t.me/datascienceresourcestp/86
Data Science Course (http://kaggle.com/learn) by Kaggle
Data Science Free Courses by IBM: https://tinyurl.com/42nau8jx
Data Science Interview Questions: https://t.me/datascienceresourcestp/90
Join Our WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Intercom University
Microsoft's Secret Stash of 100+ Free Courses You Need to Know About
* Microsoft Azure
* Artificial Intelligence
* Cybersecurity
* Data Analytics
* Software Development
* Cloud Computing
* Power Platform
* Database Technologies
Link π :- https://intercomuniversity.com/free-courses/development/microsofts-secret-stash-of-100-free-courses-you-need-to-know-about/
Enroll for FREE
* Microsoft Azure
* Artificial Intelligence
* Cybersecurity
* Data Analytics
* Software Development
* Cloud Computing
* Power Platform
* Database Technologies
Link π :- https://intercomuniversity.com/free-courses/development/microsofts-secret-stash-of-100-free-courses-you-need-to-know-about/
Enroll for FREE
Tech β€οΈ π
1. PayPal co-founder, Tesla, SpaceX, X(formerly Twitter), xAI, Starlink, Neuralink
2. Google co-founder
3. Google & Alphabet co-founder
4. Amazon founder
5. Oracle co-founder
6. Dell Technologies founder
7. Meta(Facebook founder, Instagram, WhatsApp, Threads, Metaverse)
8. NVIDIA founder and CEO
1. PayPal co-founder, Tesla, SpaceX, X(formerly Twitter), xAI, Starlink, Neuralink
2. Google co-founder
3. Google & Alphabet co-founder
4. Amazon founder
5. Oracle co-founder
6. Dell Technologies founder
7. Meta(Facebook founder, Instagram, WhatsApp, Threads, Metaverse)
8. NVIDIA founder and CEO
Forwarded from Product Design Resources TP . UX Design . Graphic Design . Video Editing . 2D 3D Animation
π Video Editing Tools & Their Use Cases π₯βοΈ
πΉ Adobe Premiere Pro β Professional timeline editing, color grading, and multi-cam workflows
πΉ DaVinci Resolve β Advanced color correction, audio mixing, and VFX integration
πΉ Final Cut Pro β Fast Mac-based editing with magnetic timeline and 360Β° VR support
πΉ CyberLink PowerDirector β Beginner-friendly effects, AI tools, and quick rendering
πΉ Wondershare Filmora β Drag-and-drop editing, effects library, and screen recording
πΉ CapCut β Mobile-first social media clips with auto-edits and trending effects
πΉ iMovie β Simple Mac editing for quick home videos and basic transitions
πΉ Adobe After Effects β Motion graphics, compositing, and visual effects creation
πΉ HitFilm Express β Free VFX and compositing for action/sci-fi content
πΉ Kdenlive β Open-source timeline editing with multi-track audio and effects
πΉ Movavi Video Editor β Easy stabilization, chroma key, and format conversion
πΉ Clipchamp β Web-based editing with templates and stock media integration
πΉ Lightworks β Pro-level cutting with Hollywood-grade export options
πΉ Avid Media Composer β Broadcast editing for TV/film post-production
πΉ VSDC Free Video Editor β Non-linear editing with masks and chroma key
πΉ 5 Awesome tools for Web Designers: t.me/designresourcestp/143
π¬ Tap β€οΈ if this helped!
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
πΉ Adobe Premiere Pro β Professional timeline editing, color grading, and multi-cam workflows
πΉ DaVinci Resolve β Advanced color correction, audio mixing, and VFX integration
πΉ Final Cut Pro β Fast Mac-based editing with magnetic timeline and 360Β° VR support
πΉ CyberLink PowerDirector β Beginner-friendly effects, AI tools, and quick rendering
πΉ Wondershare Filmora β Drag-and-drop editing, effects library, and screen recording
πΉ CapCut β Mobile-first social media clips with auto-edits and trending effects
πΉ iMovie β Simple Mac editing for quick home videos and basic transitions
πΉ Adobe After Effects β Motion graphics, compositing, and visual effects creation
πΉ HitFilm Express β Free VFX and compositing for action/sci-fi content
πΉ Kdenlive β Open-source timeline editing with multi-track audio and effects
πΉ Movavi Video Editor β Easy stabilization, chroma key, and format conversion
πΉ Clipchamp β Web-based editing with templates and stock media integration
πΉ Lightworks β Pro-level cutting with Hollywood-grade export options
πΉ Avid Media Composer β Broadcast editing for TV/film post-production
πΉ VSDC Free Video Editor β Non-linear editing with masks and chroma key
πΉ 5 Awesome tools for Web Designers: t.me/designresourcestp/143
π¬ Tap β€οΈ if this helped!
WhatsApp Channel:
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
β€2
When everythingβs a priority, nothing actually ships.
Forwarded from Crypto Stract | Web 3, Finance, Business, Blockchain, Crypto, Growth, Stock Market, Money
Youβre in your late 20s:
* 26, born in 1999
* 27, born in 1998
* 28, born in 1997
* 29, born in 1996
The weight of responsibility is crushing.
Your paycheck feels more like a prison than a prize.
It's time to build your escape route.
Do these 6 things in the next 6 months to start π
1/6 Build ONE Keystone Habit.
This isn't about hustle culture.
It's about survival.
For me, it was building after my four sons were asleep.
One hour.
No matter how tired I was from the warehouse.
That hour was my one hour of building freedom.
Find yours.
β Pick it.
β Protect it.
β Repeat it until it's automatic.
Then...
2/6 Get The Noise Out Of Your Head.
Your brain is screaming after a full day of taking orders.
Constant worry about bills, the kids, the future.
Writing is the only thing that quiets it down.
Write about:
* The anger at your boss.
* The fear you'll be stuck forever.
* The secret hope you can pull this off.
This is how you get back in the driver's seat.
But you need a map...
3/6 Create Your Escape Map.
You can't escape a prison without knowing where the walls are.
Most guys drift for years because they just post and pray.
That is NOT a strategy.
Instead, track the proof you're moving:
* Every dollar earned on the side (even DoorDashing for diaper money).
* Every new follower who gets it.
* Every meaningful conversation.
This isn't vanity.
It's visible proof you're getting closer to the exit.
Next, you clear the path.
4/6 Stop The Time Heist.
Time is EVERYTHING.
The 9-5 steals 8 hours. The commute steals 2 more. Scrolling steals another 1.
Stop letting them take it.
This is a war for your minutes.
Delete the apps that don't build you.
Shut off the TV.
Protect the quiet moments after bedtime.
Those are the moments that build your freedom.
And you have to do it in front of people...
5/6 Build In Public.
Stop trying to be perfect. Nobody connects with a highlight reel.
They connect with the guy eating leftover nuggets in his minivan at 10 PM, trying to figure it all out.
That's real.
Share the messy start.
Share the small wins.
Share the exhaustion.
Your story is the one thing no one can copy.
6/6 The Sunday Check-In.
A week of drifting becomes a year of being stuck.
It's how the Paycheck Prison keeps you for life.
Every Sunday, you need a reality check:
β What actually worked?
β Where did I waste precious time?
β What is the ONE thing I must do next week?
This is how you build a real escape route, not just dream about it.
Tips to help you be successful: t.me/cryptostract/150
More Growth Tips Here:
whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
* 26, born in 1999
* 27, born in 1998
* 28, born in 1997
* 29, born in 1996
The weight of responsibility is crushing.
Your paycheck feels more like a prison than a prize.
It's time to build your escape route.
Do these 6 things in the next 6 months to start π
1/6 Build ONE Keystone Habit.
This isn't about hustle culture.
It's about survival.
For me, it was building after my four sons were asleep.
One hour.
No matter how tired I was from the warehouse.
That hour was my one hour of building freedom.
Find yours.
β Pick it.
β Protect it.
β Repeat it until it's automatic.
Then...
2/6 Get The Noise Out Of Your Head.
Your brain is screaming after a full day of taking orders.
Constant worry about bills, the kids, the future.
Writing is the only thing that quiets it down.
Write about:
* The anger at your boss.
* The fear you'll be stuck forever.
* The secret hope you can pull this off.
This is how you get back in the driver's seat.
But you need a map...
3/6 Create Your Escape Map.
You can't escape a prison without knowing where the walls are.
Most guys drift for years because they just post and pray.
That is NOT a strategy.
Instead, track the proof you're moving:
* Every dollar earned on the side (even DoorDashing for diaper money).
* Every new follower who gets it.
* Every meaningful conversation.
This isn't vanity.
It's visible proof you're getting closer to the exit.
Next, you clear the path.
4/6 Stop The Time Heist.
Time is EVERYTHING.
The 9-5 steals 8 hours. The commute steals 2 more. Scrolling steals another 1.
Stop letting them take it.
This is a war for your minutes.
Delete the apps that don't build you.
Shut off the TV.
Protect the quiet moments after bedtime.
Those are the moments that build your freedom.
And you have to do it in front of people...
5/6 Build In Public.
Stop trying to be perfect. Nobody connects with a highlight reel.
They connect with the guy eating leftover nuggets in his minivan at 10 PM, trying to figure it all out.
That's real.
Share the messy start.
Share the small wins.
Share the exhaustion.
Your story is the one thing no one can copy.
6/6 The Sunday Check-In.
A week of drifting becomes a year of being stuck.
It's how the Paycheck Prison keeps you for life.
Every Sunday, you need a reality check:
β What actually worked?
β Where did I waste precious time?
β What is the ONE thing I must do next week?
This is how you build a real escape route, not just dream about it.
Tips to help you be successful: t.me/cryptostract/150
More Growth Tips Here:
whatsapp.com/channel/0029VajB00n0LKZ7cSloGR1M
β€1
Superhuman acquires AI detection startup GPTZero
Superhuman has acquired GPTZero, the AI-detection startup founded by Princeton graduate Edward Tian, in a move that strengthens Superhumanβs push into content authenticity and AI trust tools. Financial terms were not disclosed, but GPTZero reported more than 19 million registered users and roughly $30 million in annual recurring revenue.
As part of the deal, GPTZeroβs founders, Tian and Alex Cui, along with the companyβs 30 employees, will join Superhuman and lead a new authenticity-focused team. GPTZero will continue operating as a standalone product while its technology is integrated into Superhumanβs ecosystem, including AI-detection and authorship-verification features.
Superhuman plans to make GPTZeroβs capabilities available through its AI assistant and productivity tools.
π t.me/techpsyche
Superhuman has acquired GPTZero, the AI-detection startup founded by Princeton graduate Edward Tian, in a move that strengthens Superhumanβs push into content authenticity and AI trust tools. Financial terms were not disclosed, but GPTZero reported more than 19 million registered users and roughly $30 million in annual recurring revenue.
As part of the deal, GPTZeroβs founders, Tian and Alex Cui, along with the companyβs 30 employees, will join Superhuman and lead a new authenticity-focused team. GPTZero will continue operating as a standalone product while its technology is integrated into Superhumanβs ecosystem, including AI-detection and authorship-verification features.
Superhuman plans to make GPTZeroβs capabilities available through its AI assistant and productivity tools.
π t.me/techpsyche
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π¨ Flutter UI Tip: Make Your App Look Stunning!
Want to level up your Flutter UI? Try these simple tricks:
β¨ Use Custom Fonts β A unique font makes a huge difference.
π¨ Play with Gradients β LinearGradient adds a modern touch.
π Dark Mode Support β Users love the option!
πΌ Smooth Animations β Use AnimatedContainer for fluid UI.
π Consistent Spacing β SizedBox and Padding keep things clean.
Small details make a big impact!
Flutter Projects by Simone Alessandria: t.me/mobiledevresourcestp/135
Beginning Flutter a hands on guide to app development by Napoli: t.me/freecourses_pdfbooks/43
Flutter vs. React Native: t.me/mobiledevresourcestp/95
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Want to level up your Flutter UI? Try these simple tricks:
β¨ Use Custom Fonts β A unique font makes a huge difference.
π¨ Play with Gradients β LinearGradient adds a modern touch.
π Dark Mode Support β Users love the option!
πΌ Smooth Animations β Use AnimatedContainer for fluid UI.
π Consistent Spacing β SizedBox and Padding keep things clean.
Small details make a big impact!
Flutter Projects by Simone Alessandria: t.me/mobiledevresourcestp/135
Beginning Flutter a hands on guide to app development by Napoli: t.me/freecourses_pdfbooks/43
Flutter vs. React Native: t.me/mobiledevresourcestp/95
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
Fully Funded Heinrich BΓΆll Foundation Scholarship 2026/2027 in Germany for Masterβs and PhD Applicants - Trends
If you are looking for a fully funded scholarship in Germany for international students, the Heinrich BΓΆll Foundation Scholarship 2026/2027 is one of the
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Apply Here: https://kenyatrends.co.ke/fully-funded-heinrich-boll-foundation-scholarship-2026-2027-in-germany-for-masters-and-phd-applicants/
Benefits:
* Monthly living stipend
* Study and research allowance
* Mobility support
* Family allowance, where applicable
* Health insurance support, depending on the funding arrangement
* Additional academic and non-academic support during the study period
Apply Here: https://kenyatrends.co.ke/fully-funded-heinrich-boll-foundation-scholarship-2026-2027-in-germany-for-masters-and-phd-applicants/
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React One-Liners Every UI Developer Should Know
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